Principal Associate, Data Scientist - Mainstreet Acquisitions

EPX

McLean, VA, US
Mclean, va: $161,800 - $184,600; new york, ny: $17...
Python, conda, aws, spark
Machine learning model development
Statistical modeling
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records

Job Summary

  • As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.
  • Our mission is to bring real-time, personalized offers to our customers - via innovation and optimization in our valuations modeling system.
  • Great team culture is profoundly important to us: we want everyone to feel they are doing meaningful and enjoyable work; we are informal and indifferent to hierarchy; we actively encourage new ideas and new ways of doing things.

Matching Summary

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records.

Salary

McLean, VA: $161,800 - $184,600; New York, NY: $176,500 - $201,400; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python, Conda, AWS, Spark
  • Machine learning model development
  • Statistical modeling
  • Leverage alternative data sources
  • Feature selection and engineering
  • Credit underwriting models

Nice-to-have

  • Customer first mindset
  • Innovative and research-oriented
  • Creative problem-solving
  • Intellectually demanding and collaborative
  • Informal and indifferent to hierarchy

Key Requirements

  • Bachelor's Degree in quantitative field + 5 years experience
  • Master's Degree in quantitative field + 3 years experience
  • PhD in quantitative field
  • 1 year experience with AWS
  • 3 years experience in Python, Scala, or R
  • 3 years experience with machine learning
  • 3 years experience with SQL

Work Rights

Not specified

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